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web-page-backend/lotto/tests/test_backtest.py
2026-05-31 16:50:28 +09:00

60 lines
2.2 KiB
Python

from app import backtest as bt
from app.analyzer import build_analysis_cache, score_combination
def _toy_draws(n=120):
# 결정적 가짜 회차: 분석 캐시 구성용 (오름차순 (drw_no, [6 nums]))
import random as _r
_r.seed(1)
out = []
for i in range(1, n + 1):
nums = sorted(_r.sample(range(1, 46), 6))
out.append((i, nums))
return out
def test_grade_tickets_histogram_and_prizes():
winning6 = [1, 2, 3, 4, 5, 6]
bonus = 7
tickets = [
[1, 2, 3, 4, 5, 6], # 6일치 = 1등
[1, 2, 3, 4, 5, 7], # 5일치 + 보너스 = 2등
[1, 2, 3, 4, 5, 8], # 5일치 = 3등
[1, 2, 3, 4, 9, 10], # 4일치 = 4등
[1, 2, 3, 11, 12, 13], # 3일치 = 5등
[40, 41, 42, 43, 44, 45], # 0일치
]
r = bt.grade_tickets(tickets, winning6, bonus)
assert r["m6"] == 1
assert r["m5"] == 2 # 5일치 총 2장(보너스 포함)
assert r["bonus_hits"] == 1 # 그 중 보너스 1장
assert r["m4"] == 1
assert r["m3"] == 1
assert r["best_match"] == 6
# 등수 매핑 헬퍼
prizes = bt.prize_counts(r)
assert prizes == {"1st": 1, "2nd": 1, "3rd": 1, "4th": 1, "5th": 1}
def test_purchase_tickets_distinct_and_count():
draws = _toy_draws()
cache = bt.build_analysis_cache(draws)
nw = bt.build_number_weights(cache)
pool = bt.generate_pool(cache, nw, n=2000, seed=7)
W = [0.25, 0.30, 0.20, 0.15, 0.10]
bought = bt.purchase_tickets(pool, cache, W, k=50)
assert len(bought) == 50
assert len({tuple(t) for t in bought}) == 50 # distinct
# W로 랭킹된 상위 → 평균 분석치가 풀 평균보다 높아야
avg_bought = sum(score_combination(t, cache, W)["score_total"] for t in bought) / 50
assert avg_bought > 0
def test_random_null_and_coverage_distinct():
rnd = bt.random_null_tickets(k=50, seed=3)
assert len(rnd) == 50 and len({tuple(t) for t in rnd}) == 50
cov = bt.coverage_tickets(k=9, seed=3) # 9장 = 54슬롯 ≥ 45번호 전수 커버 가능
flat = {n for t in cov for n in t}
assert len(cov) == 9 and len({tuple(t) for t in cov}) == 9
assert len(flat) >= 40 # 커버리지 전략은 번호를 넓게 퍼뜨림